Abstract
This chapter details the concept of kernel methods and presents the foundations of two paradigmatic techniques: support vector machines and relevance vector machines. Both are introduced in a text classification perspective and then results and comparisons of their application to benchmark corpora are presented.
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© 2010 Springer-Verlag Berlin Heidelberg
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Silva, C., Ribeiro, B. (2010). Kernel Machines for Text Classification. In: Inductive Inference for Large Scale Text Classification. Studies in Computational Intelligence, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04533-2_2
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DOI: https://doi.org/10.1007/978-3-642-04533-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04532-5
Online ISBN: 978-3-642-04533-2
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